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通过将转移前状态与最终转移命运联系起来,确定转移潜能的基因特征。

Identifying a gene signature of metastatic potential by linking pre-metastatic state to ultimate metastatic fate.

作者信息

Handler Jesse S, Li Zijie, Dveirin Rachel K, Fang Weixiang, Goodarzi Hani, Fertig Elana J, Kalhor Reza

机构信息

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

出版信息

bioRxiv. 2024 Aug 17:2024.08.14.607813. doi: 10.1101/2024.08.14.607813.

DOI:10.1101/2024.08.14.607813
PMID:39185156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11343111/
Abstract

Identifying the key molecular pathways that enable metastasis by analyzing the eventual metastatic tumor is challenging because the state of the founder subclone likely changes following metastatic colonization. To address this challenge, we labeled primary mouse pancreatic ductal adenocarcinoma (PDAC) subclones with DNA barcodes to characterize their pre-metastatic state using ATAC-seq and RNA-seq and determine their relative metastatic potential prospectively. We identified a gene signature separating metastasis-high and metastasis-low subclones orthogonal to the normal-to-PDAC and classical-to-basal axes. The metastasis-high subclones feature activation of IL-1 pathway genes and high NF-κB and Zeb/Snail family activity and the metastasis-low subclones feature activation of neuroendocrine, motility, and Wnt pathway genes and high CDX2 and HOXA13 activity. In a functional screen, we validated novel mediators of PDAC metastasis in the IL-1 pathway, including the NF-κB targets and , and beyond the IL-1 pathway including and . We scored human PDAC tumors for our signature of metastatic potential from mouse and found that metastases have higher scores than primary tumors. Moreover, primary tumors with higher scores are associated with worse prognosis. We also found that our metastatic potential signature is enriched in other human carcinomas, suggesting that it is conserved across epithelial malignancies. This work establishes a strategy for linking cancer cell state to future behavior, reveals novel functional regulators of PDAC metastasis, and establishes a method for scoring human carcinomas based on metastatic potential.

摘要

通过分析最终的转移性肿瘤来确定促成转移的关键分子途径具有挑战性,因为起始亚克隆的状态在转移定植后可能会发生变化。为应对这一挑战,我们用DNA条形码标记原发性小鼠胰腺导管腺癌(PDAC)亚克隆,以使用ATAC-seq和RNA-seq来表征其转移前状态,并前瞻性地确定它们的相对转移潜力。我们鉴定出了一个基因特征,可区分转移能力高和转移能力低的亚克隆,该特征与从正常到PDAC以及从经典到基底的轴相互正交。转移能力高的亚克隆具有IL-1途径基因的激活以及高NF-κB和Zeb/Snail家族活性,而转移能力低的亚克隆具有神经内分泌、运动性和Wnt途径基因的激活以及高CDX2和HOXA13活性。在一项功能筛选中,我们验证了IL-1途径中PDAC转移的新介质,包括NF-κB靶标以及 ,以及IL-1途径之外的介质,包括 和 。我们根据小鼠的转移潜力特征对人类PDAC肿瘤进行评分,发现转移灶的评分高于原发性肿瘤。此外,评分较高的原发性肿瘤与较差的预后相关。我们还发现,我们的转移潜力特征在其他人类癌症中也有富集,这表明它在上皮性恶性肿瘤中是保守的。这项工作建立了一种将癌细胞状态与未来行为联系起来的策略,揭示了PDAC转移的新功能调节因子,并建立了一种基于转移潜力对人类癌症进行评分的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/cdb0631e2b63/nihpp-2024.08.14.607813v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/a41346ac89fa/nihpp-2024.08.14.607813v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/65374f4eedbb/nihpp-2024.08.14.607813v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/62fa56f6b67d/nihpp-2024.08.14.607813v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/73c28fc1b656/nihpp-2024.08.14.607813v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/5cba9e454b4b/nihpp-2024.08.14.607813v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/57de6f46abf4/nihpp-2024.08.14.607813v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/cdb0631e2b63/nihpp-2024.08.14.607813v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/a41346ac89fa/nihpp-2024.08.14.607813v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/65374f4eedbb/nihpp-2024.08.14.607813v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/62fa56f6b67d/nihpp-2024.08.14.607813v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/73c28fc1b656/nihpp-2024.08.14.607813v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/5cba9e454b4b/nihpp-2024.08.14.607813v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/57de6f46abf4/nihpp-2024.08.14.607813v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6692/11343111/cdb0631e2b63/nihpp-2024.08.14.607813v1-f0007.jpg

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